This national study examines the impact of the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT) on the prescribing of thiazide-type diuretics and other antihypertensive medications for patients with newly diagnosed hypertension. A cross-sectional analysis was conducted using data from a national network of electronic health records for 2 groups with newly diagnosed hypertension and started on antihypertensive medications: one a year before and the other a year after the publication of ALLHAT. The percentage of new hypertensives started on thiazides increased from 29% pre-ALLHAT to 39% post-ALLHAT. An increase was also seen for angiotensin receptor blockers, while prescribing for angiotensin-converting enzyme inhibitors, calcium channel blockers, and beta-blockers declined. There was no significant change in prescriptions for alpha-blockers. Prescriptions for thiazides for patients with newly diagnosed hypertension increased after the publication of ALLHAT. Data from large national trials can have a considerable impact on prescribing practices.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109622PMC
http://dx.doi.org/10.1111/j.1524-6175.2006.05781.xDOI Listing

Publication Analysis

Top Keywords

newly diagnosed
12
diagnosed hypertension
12
prescribing practices
8
impact antihypertensive
8
antihypertensive lipid-lowering
8
lipid-lowering treatment
8
treatment prevent
8
prevent heart
8
heart attack
8
attack trial
8

Similar Publications

Impact of Psychological Factors on Survival in Metastatic Esophagogastric Cancer: Secondary Analysis of a Randomized Controlled Trial.

JCO Oncol Pract

January 2025

Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Psycho-Oncology, Peking University Cancer Hospital &Institute, Beijing, China.

Purpose: Early interdisciplinary supportive care (ESC), including psychological interventions, can improve the survival of patients with metastatic esophagogastric cancer (EGC). The purpose of the study was to evaluate the association between psychological factors and survival in patients with metastatic EGC.

Methods: A secondary analysis was conducted for an open-label randomized controlled trial of ESC, in which 246 patients with EGC completed a distress measure (the distress thermometer) and a depression symptom measure (the Patient Health Questionnaire-9 [PHQ-9]) at baseline before cancer treatments.

View Article and Find Full Text PDF

Introduction/objectives: The study aimed to determine whether in children with newly diagnosed juvenile idiopathic arthritis (JIA) hepatitis B surface antibody (anti-HBs) differs from healthy children and to see whether the revaccination is safe and effective under JIA treatment.

Methods: Patients who were followed up with a diagnosis of JIA between January 2020 and February 2024 were included. The control group consisted of healthy children matched for age and gender.

View Article and Find Full Text PDF

Background: The Bombay and para-Bombay blood groups are rare blood types that are significant to clinical blood transfusions. Accurate para-Bombay blood group identification is important for the safety of transfusions.

Methods: Serological and molecular biology methods were used to detect one case of ABO blood type.

View Article and Find Full Text PDF

A Machine Learning Model Using Cardiac CT and MRI Data Predicts Cardiovascular Events in Obstructive Coronary Artery Disease.

Radiology

January 2025

From the Department of Cardiology (T.P., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), MIRACL.ai (Multimodality Imaging for Research and Analysis Core Laboratory: and Artificial Intelligence) (T.P., S.T., K.H., T.G., A.L., E.G., A.U., J.G.D., P.H.), Inserm MASCOT-UMRS 942 (T.P., K.H., T.A.S., T.G., A.L., E.G., A.U., J.G.D., P.H.), and Department of Radiology (T.P., V.B., L.H., T.G.), Université Paris Cité, University Hospital of Lariboisière, Assistance Publique-Hôpitaux de Paris, Paris, France; Cardiovascular Magnetic Resonance Laboratory (T.P., T.H., T.U., F.S., S.C., P.G., J.G.) and Cardiac Computed Tomography Laboratory (T.P., T.H., T.L., B.C., T.U., F.S., S.C., H.B., A.N., M.A., P.G., J.G.), Hôpital Privé Jacques Cartier, Institut Cardiovasculaire Paris Sud, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300 Massy, France; Scientific Partnerships, Siemens Healthcare France, Saint-Denis, France (S.T.); Department of Cardiology, Hôpital Universitaire de Bruxelles-Hôpital Erasme, Brussels, Belgium (A.U.); and Department of Cardiovascular Imaging, American Hospital of Paris, Neuilly, France (O.V., M.S.).

Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purpose To investigate the performance of an ML model that uses both stress cardiac MRI and coronary CT angiography (CCTA) data to predict major adverse cardiovascular events (MACE) in patients with newly diagnosed CAD.

View Article and Find Full Text PDF

Aim: Ovarian cancer (OC) is a fatal female malignant tumor that severely impacts the health of women worldwide. Due to the lack of diagnostic biomarkers, 70% of OC patients are considered in the advanced stage at the first diagnosis. Exploring novel biomarkers for OC diagnosis has become an urgent clinical need to address.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!